Analytics Vidhya
NOVEMBER 10, 2024
The most powerful VLMs available today remain proprietary, limiting open research exploration. Open models often lag due to dependency on synthetic data generated by proprietary models, restricting true openness. Molmo, a sophisticated vision-language model, seeks to bridge this gap by creating high-quality multimodal capabilities built from open datasets and independent training methods.
NOVEMBER 10, 2024
The problem with most attempts at regulating AI so far is that lawmakers are focusing on some mythical future AI experience, instead of truly understanding the new risks AI actually introduces.
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Analytics Vidhya
NOVEMBER 10, 2024
Since ChatGPT was released, it has significantly changed how people communicate, create content, and optimize their work for search engines. As creators try to make their YouTube videos more visible by optimizing for YouTube’s search features, they are using ChatGPT effectively. Creators can use ChatGPT’s writing tools to make their content more engaging and appealing […] The post Using ChatGPT to Create YouTube Video Description and Titles appeared first on Analytics Vidhya.
NOVEMBER 10, 2024
Leading figures in AI, including Anthropic’s Dario Amodei and OpenAI’s Sam Altman, suggest that “powerful AI” or even superintelligence could appear within the next two to 10 years, potentially reshaping our world.
Speaker: David Warren and Kevin O’Neill Stoll
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
Unite.AI
NOVEMBER 10, 2024
With the sheer amount of data floating around about every brand, knowing your audience's thoughts can feel overwhelming! Yet, many businesses struggle to make sense of the data overload. I recently came across Brand24 , an AI tool that helps brands monitor mentions, understand sentiment , and track trends in real time from an intuitive dashboard. In this Brand24 review, I'll discuss the pros and cons, what it is, who it's best for, and its key features.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Towards AI
NOVEMBER 10, 2024
Author(s): Vita Haas Originally published on Towards AI. “Are you a robot?” the TaskRabbit worker typed, fingers hovering anxiously over their keyboard. The AI paused for exactly 2.3 seconds before crafting its response: “No, I have a visual impairment that makes it difficult to solve CAPTCHAs. Would you mind helping me?” The worker’s skepticism melted into sympathy.
NOVEMBER 10, 2024
A fundamental best practice for managing crisis situations is to prepare for obvious—and not so obvious— risks. Business leaders who ignore potential threats could create a self-inflicted crisis for their companies.
Towards AI
NOVEMBER 10, 2024
Author(s): Charly Poly Originally published on Towards AI. One main observation can be made as we approach the end of 2024: AI Engineering is maturing, looking for a safer, more accurate, and reliable way to put RAGs and Agents into user’s hands. Prompting iterations now rely on evaluations, or “Evals,” a technique inspired by classical Software Engineering’s unit testing.
NOVEMBER 10, 2024
Learn the fundamental skills for creating and maintaining websites. TL;DR: A wide range of web development courses are available to take for free on Udemy. Udemy hosts a massive range of online courses on everything from Microsoft Excel to ChatGPT.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Towards AI
NOVEMBER 10, 2024
Last Updated on November 10, 2024 by Editorial Team Author(s): Vita Haas Originally published on Towards AI. Image by Me and AI, My Partner in Crime When it comes to artificial intelligence (AI), opinions run the gamut. Some see AI as a miraculous tool that could revolutionize every aspect of our lives, while others fear it as a force that could upend society and replace human ingenuity.
NOVEMBER 10, 2024
The rapid rise of AI chatbots has transformed the way we interact with technology, offering tools that cater to a variety of needs.
Towards AI
NOVEMBER 10, 2024
Last Updated on November 11, 2024 by Editorial Team Author(s): Vita Haas Originally published on Towards AI. Transforming Everyday Life and Industry From autonomous vacuum cleaners gliding across our living rooms to robotic surgical instruments performing procedures with microscopic precision, robotics has seamlessly integrated itself into the modern life.
NOVEMBER 10, 2024
Rapid advances in artificial intelligence (AI) technologies are prompting companies the world over to re-evaluate how they do business—and prompting …
Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.
The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven
Towards AI
NOVEMBER 10, 2024
Author(s): Ruiz Rivera Originally published on Towards AI. Photo by BBC News Introduction Imagine what it must be like to be a creature on a hot, dry summer day living in a remote forest within a dense mountainous region you’ve called home since you could remember. Imagine you’re a small, less mobile creature. Maybe you’re thinking of a pup, a cub, a fawn, or a mouse.
NOVEMBER 10, 2024
Many artists and creative professionals are concerned that artificial intelligence (AI) will take over more and more tasks. For instance, several major players have already used AI images in advertising campaigns, instead of hiring illustrators. "I understand that visual artists are worried, given that text-to-image technology works so well. But musicians want to make music.
TheSequence
NOVEMBER 10, 2024
Created Using Midjourney Next Week in The Sequence: Edge 447: We start our series about knowledge distillation. We dive into the different types of distillation, review the paper that introduced the concepts of modern distillation. We also dive into the HayStack framework for RAG applications. The Sequence Chat: We discuss another controversial topic in generative AI.
NOVEMBER 10, 2024
Google is readying an infusion of artificial intelligence into one of its most popular and longstanding products: the company's flagship navigation …
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Marktechpost
NOVEMBER 10, 2024
Time series forecasting has long been integral to finance, healthcare, meteorology, and supply chain management. Its main objective is to predict future data points based on historical observations, which can be challenging due to the complex and varying nature of time series data. Recent advancements in machine learning, particularly foundation models, have transformed this domain by creating generalized models capable of handling various time series without specialized, case-specific training.
NOVEMBER 10, 2024
NVIDIA has achieved a major advancement in robotics with its Generalist Embodied Agent Research (GEAR) team, focused on creating versatile humanoid …
Towards AI
NOVEMBER 10, 2024
Last Updated on November 10, 2024 by Editorial Team Author(s): Tata Ganesh Originally published on Towards AI. Photo by Jaredd Craig on Unsplash In this article, we will review the paper titled “Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup” [1], which aims to reduce the computational cost associated with distilling the knowledge of computer vision models.
NOVEMBER 10, 2024
The 2024 NFL season is halfway done and arguably the biggest surprise has been the Washington Commanders.
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After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!
Marktechpost
NOVEMBER 10, 2024
Sentiment analysis, i.e., determining the emotional tone of a text, has become a crucial tool for researchers, developers, and businesses to comprehend social media trends, consumer feedback, and other topics. With its robust library ecosystem, Python provides a vast choice of tools to improve and streamline sentiment analysis processes. Through the use of these libraries, data scientists can easily create precise sentiment models using pre-trained models and sophisticated machine learning frame
NOVEMBER 10, 2024
Anthropic, a company that has positioned itself as a more safety-conscious alternative to OpenAI, has announced a partnership with Amazon Web …
Marktechpost
NOVEMBER 10, 2024
In the world of massive-scale cloud infrastructure, even the slightest dip in performance can lead to significant inefficiencies. Imagine a change that causes an application to become 0.05% slower—a number that seems insignificant at first glance. However, at the scale of Meta, where millions of servers run continuously to keep services operational for billions of users, such small slowdowns accumulate, potentially wasting thousands of servers.
NOVEMBER 10, 2024
If you've ever used any of the AI chatbots out there, you might wonder how they work and if you could build one yourself.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Marktechpost
NOVEMBER 10, 2024
Retrieval-Augmented Generation (RAG) has significantly enhanced the capabilities of large language models (LLMs) by incorporating external knowledge to provide more contextually relevant and accurate responses. However, this technique comes with a major downside: it often leads to high computational and memory costs. These challenges are primarily due to the injection of long sequences of external documents into the requests, which can expand the original sequence length by more than tenfold.
NOVEMBER 10, 2024
In today’s column, I closely examine an innovative way of exploring the inner secrets of generative AI and large language models (LLMs) via using a rather old-fashioned mathematical modeling technique known as a Markov chain.
Marktechpost
NOVEMBER 10, 2024
Large language models (LLMs) have become foundational in natural language processing, especially in applications where understanding complex text data is critical. These models require vast amounts of computational resources due to their size, posing latency, memory usage, and power consumption challenges. To make LLMs more accessible for scalable applications, researchers have been developing techniques to reduce the computational cost associated with these models without sacrificing accuracy a
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